Accession Number : ADP007429
Title : Adaptive Nulling and Spatial Spectral Estimation Using an Iterated Principal Components Decomposition,
Corporate Author : MITRE CORP BEDFORD MA
Personal Author(s) : Carhoun, Dean O.
Report Date : FEB 1992
Pagination or Media Count : 11
Abstract : An iterative algorithm is described for computing a reduced rank principal component least squares estimate of the adaptive weight vector to be used for spatially nulling interference received in the sidelobes of the formed beams of an array of antenna elements. Based on a power/deflation method for extracting estimates of the dominant eigenstructure components, the algorithm is used to approximate the subspace spanned by the sample covariance eigenvectors associated with the directions of arrival of spatially coherent interference. Side information is also produced that can aid the discrimination between interference and noise subspaces. Performance is illustrated by the results of processing actual signals recorded from the individual elements of a linear antenna array operating in the HF band.
Descriptors : *ALGORITHMS, *ANTENNAS, ANTENNA ARRAYS, ARRAYS, ARRIVAL, COVARIANCE, DISCRIMINATION, EIGENVECTORS, ESTIMATES, INTERFERENCE, NOISE, POWER, PROCESSING, SIDELOBES, SIGNALS, WEIGHT.
Subject Categories : Numerical Mathematics
Electrical and Electronic Equipment
Distribution Statement : APPROVED FOR PUBLIC RELEASE